Vision Based Machine for Pick-and-Place Operation

Yo-Seop Hwang, Longtan Wang, Dong-Hyuk Lee, Jang-Myung Lee

Abstract


Pick and place machine is an important component of automatic assembly lines. This paper proposes a way for recognizing and localizing the objects which are moving on a conveyor belt. This Machine has an image processing system with 2D vision, a low cost 2D mono CCD camera to recognizing and localizing the objects by conduct image processing algorithms. Then a motion planning is generated to pick and place the different objects to different positions consequently. The experiment shows the proposed system has an excellent performance.


DOI
10.12783/dtmse/icimm2016/6225

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